Narrow band vegetation indices overcome the saturation problem in biomass estimation

Remotely sensed vegetation indices such as NDVI, computed using the red and near infrared bands have been used to estimate pasture biomass. These indices are of limited value since they saturate in dense vegetation. In this study, we evaluated the potential of narrow band vegetation indices for char...

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Bibliographic Details
Published in:	International journal of remote sensing Vol. 25; no. 19; pp. 3999 - 4014
Main Authors:	Mutanga, O., Skidmore, A. K.
Format:	Journal Article
Language:	English
Published:	Abingdon Taylor & Francis Group 01.10.2004 Taylor and Francis
Subjects:	Animal, plant and microbial ecology Applied geophysics Biological and medical sciences canopies chlorophyll content classification Earth sciences Earth, ocean, space Exact sciences and technology Fundamental and applied biological sciences. Psychology General aspects. Techniques grass hyperspectral brdf data Internal geophysics leaf-area index ndvi red edge position spectral reflectance Teledetection and vegetation maps Monocotyledones Vegetation index vegetation saturation Gramineae Angiospermae Plant cover correlation coefficient wavelength biomass density absorption reflectance Cenchrus ciliaris Estimation Plantae chlorophyll remote sensing Narrow band angiosperms Pasture Monocotyledoneae standard samples Spermatophyta Canopy(vegetation) Leaf area index
ISSN:	0143-1161, 1366-5901
Online Access:	Get full text
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